Abstract: Deep graph contrastive clustering has attracted widespread attentions due to its self-supervised representation learning paradigm and superior clustering performance. Although, two ...

Abstract: Background: Understanding the complex dynamics of urban environments is crucial for building smarter and more livable cities. To achieve this, it is essential to capture the interactions ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...